
DeepSeek R1 and V3: The Developer's Guide to Open-Source AI
DeepSeek R1 and V3 developer guide: use the MIT-licensed models through the API, run them locally with Ollama and decide when they beat closed-source models.
129 articles - page 11 of 11

DeepSeek R1 and V3 developer guide: use the MIT-licensed models through the API, run them locally with Ollama and decide when they beat closed-source models.

Llama 4 developer guide to Scout and Maverick, the open mixture-of-experts models from Meta: run them locally, call them via APIs and know when to pick them.

Claude vs GPT for real TypeScript work: benchmarks, pricing, model families, and the practical differences that matter when picking a coding model.

A developer's comparison of OpenAI and Anthropic ecosystems - models, coding tools, APIs, pricing, and which to choose for different use cases.

NVIDIA Nemotron 3 Super combines latent mixture of experts with hybrid Mamba layers - 120B total parameters, 12B active per token, 1M context and open weights.

xAI has launched Grok 4, claiming the title of the world's most powerful AI model. With a $300/month Super Grok tier, saturated AMI benchmarks, and a coding model on the horizon, this is xAI's bigge...

Qwen 3 is Alibaba's family of eight Apache 2 licensed models, led by a 235B MoE flagship. How it compares to Llama 4, how hybrid thinking works, how to run it.

xAI's Grok 3 launch explained: the 200,000-GPU cluster, benchmarks against GPT-4o and Sonnet 3.5, the reasoning modes, and what it all means for developers.
Showing 121-128 of 128 articles

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